Introduction To the project | Data Set Analysis and Model Training | Importing data set and tools library | Splitting data set and encoding output column | Training and Testing Multiple Models in Python | Importing and training various classification models. | Looping through models for training and testing with accuracy calculations. | Model Training and Testing Process with Support Vector Classifier | Model training involves using support vector classifier with different models like random forest and gradient boosting. | Data preprocessing leads to 100% accuracy in model testing due to clean data. | Saving and loading the trained model for future use is demonstrated. | Creating a Predictive Model for Disease Diagnosis | Comparing predicted labels with actual diseases. | Importing and analyzing data sets for symptoms, precautions, and medications. | Developing a function for predicting diseases based on patient symptoms. | Creating Input Vectors for Disease Prediction | Explanation of input vector and patient symptoms | Creating input vector with patient symptoms | Passing user symptoms for disease prediction | Analyzing Symptoms and Predicting Diseases | Creating a system to filter diseases based on symptoms and provide corresponding descriptions. | Developing a function to retrieve precautions, medications, and diets for specific diseases. | Debugging and refining the output for predicted disease, description, and precautions | Creating a Medicine Recommendation System with Python and Flask | The speaker discusses typing symptoms and predicting diseases based on the symptoms. | The speaker explains the process of creating a recommendation system for medication, precautions, and diet based on the predicted disease. | Creating HTML Pages and Using Bootstrap for Web Development | Identifying URL and template errors | Creating a Health Care Center Web Form | Implementing back-end functionality to retrieve user input and load data | Demonstration of Code Explanation and Front-End Integration | Using attribute in HTML for interactive buttons | Demonstration of populating disease details based on user input. | Explanation of code flow and demonstration of different website sections.
This course builds a house price prediction model using core ML and MLOps principles. Learn data analysis, feature engineering, and model implementation with rigorous testing and scalable code. The project integrates ZenML & MLflow for experiment tracking and deployment.
This course builds a house price prediction model using core ML and MLOps principles. Learn data analysis, feature engineering, and model implementation with rigorous testing and scalable code. The project integrates ZenML & MLflow for experiment tracking and deployment.
Understanding the dataset | Preparing Dataset And Basic Analysis | Preparing Dataset For Model Training | Training The Model | Performance Metrics | Prediction Of New Data | Pickling the model file | Setting Up Github And VS Code | Tools And Software Required | Creating A New Environment | Setting up Git | Creating A FLASK Web Application | Running An Testing our application | Prediction From Front End Application | Procfile for Heroku Deployment | Deploying The App To Heroku | Deploying The App Using Dockers
This video provides a step-by-step machine learning project walkthrough. It uses a Kaggle dataset to predict customer churn in a telecom company. The tutorial covers data preprocessing, model selection, and performance evaluation using tree-based models.
This video provides a step-by-step machine learning project walkthrough. It uses a Kaggle dataset to predict customer churn in a telecom company. The tutorial covers data preprocessing, model selection, and performance evaluation using tree-based models.
This tutorial demonstrates an advanced machine learning project predicting diabetes using Python. The process involves exploratory data analysis, data preprocessing techniques, and model building. Several machine learning models are compared for predictive accuracy.
This tutorial demonstrates an advanced machine learning project predicting diabetes using Python. The process involves exploratory data analysis, data preprocessing techniques, and model building. Several machine learning models are compared for predictive accuracy.
Introduction. | Project Road Map. | Imports Libraries & Tools. | Load Dataset | Data Visualization. | Image Preprocessing. | What is Transfer Learning. | Model Building (Implementation) | Data Preprocessing Implementation. | Train & Val Plots | Classification Report. | Confusion Matrix. | MRI Image Detection System. | Deployment With Flask App. | Working with Front - End (HTML) | Working With Back - End (Flask) | Displaying detected results and images.
Project 2: Diabetes Prediction using Machine Learning with Python | End To End Python ML Project
Siddhardhan 494,432 views 4 years ago
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Project 2: Diabetes Prediction using Machine Learning with Python | End To End Python ML Project
8kLikes
494,432Views
202112 Feb
🤖 My end-to-end Machine Learning Course - Udemy (2026): https://www.udemy.com/course/machine-...
In this video, we are building a system that can predict whether a person has diabetes or not with the help of Machine Learning. This project is done in Python. In this project, we use Support Vector Machine model for the prediction.
In my complete GenAI course, You’ll:
🚀 Build 3 cloud-deployed AI projects
🧠 Master RAG, AI Agents & MCP step-by-step
💼 Learn job-ready skills in Generative AI that top tech companies expect
Hi guys! I am Siddhardhan. I work in the field of Data Science and Machine Learning. It all started with my curiosity to learn about Artificial Intelligence and the ability of AI to solve several Real Life Problems. I worked on several Machine Learning & Deep Learning projects involving Computer Vision.
I am on this journey to empower as many students & working professionals as possible with the knowledge of Machine Learning and Artificial Intelligence.
Hello everyone! I am setting up a donation campaign for my YouTube Channel. If you like my videos and wish to support me financially, you can donate through the following means:
From India 👉 UPI ID : siddhardhselvam2317@oksbi
Outside of India? 👉 Paypal id: siddhardhselvam2317@gmail.com
(No donation is small. Every penny counts)
Thanks in advance!
Let's build a Community of Machine Learning experts! Kindly Subscribe here👉 https://tinyurl.com/md0gjbis
I am making a "Hands-on Machine Learning Course with Python" in YouTube. I'll be posting 3 videos per week. 2 videos on Machine Learning basics (Monday & Wednesday Evening). 1 video on a Machine Learning project (Friday Evening).
Dataset File link: https://www.dropbox.com/s/uh7o7uyeghq...
Colab File Link: https://colab.research.google.com/dri...
Download the Course Curriculum File from here: https://drive.google.com/file/d/17i0c...
LinkedIn: / siddhardhan-s-741652207
Telegram Group: https://t.me/siddhardhan
Facebook group: https://www.facebook.com/groups/49085...
Machine Learning Project
Python Project
Diabetes Prediction using Machine Learning with Python
Supervised Learning
Supervised Learning Algorithm
Deep Learning
artificial intelligence
#machinelearning#deeplearning#python#pythonproject Instagram: / siddhardhan23 Instagram: / siddhardhan23 …...more
...more
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How this was made
Auto-dubbed
Audio tracks for some languages were automatically generated. Learn more
🤖 My end-to-end Machine Learning Course - Udemy (2026): https://www.udemy.com/course/machine-...
In this video, we are building a system that can predict whether a person has diabetes or not with the help of Machine Learning. This project is done in Python. In this project, we use Support Vector Machine model for the prediction.
In my complete GenAI course, You’ll:
🚀 Build 3 cloud-deployed AI projects
🧠 Master RAG, AI Agents & MCP step-by-step
💼 Learn job-ready skills in Generative AI that top tech companies expect
Hi guys! I am Siddhardhan. I work in the field of Data Science and Machine Learning. It all started with my curiosity to learn about Artificial Intelligence and the ability of AI to solve several Real Life Problems. I worked on several Machine Learning & Deep Learning projects involving Computer Vision.
I am on this journey to empower as many students & working professionals as possible with the knowledge of Machine Learning and Artificial Intelligence.
Hello everyone! I am setting up a donation campaign for my YouTube Channel. If you like my videos and wish to support me financially, you can donate through the following means:
From India 👉 UPI ID : siddhardhselvam2317@oksbi
Outside of India? 👉 Paypal id: siddhardhselvam2317@gmail.com
(No donation is small. Every penny counts)
Thanks in advance!
Let's build a Community of Machine Learning experts! Kindly Subscribe here👉 https://tinyurl.com/md0gjbis
I am making a "Hands-on Machine Learning Course with Python" in YouTube. I'll be posting 3 videos per week. 2 videos on Machine Learning basics (Monday & Wednesday Evening). 1 video on a Machine Learning project (Friday Evening).
Dataset File link: https://www.dropbox.com/s/uh7o7uyeghq...
Colab File Link: https://colab.research.google.com/dri...
Download the Course Curriculum File from here: https://drive.google.com/file/d/17i0c...
LinkedIn: / siddhardhan-s-741652207
Telegram Group: https://t.me/siddhardhan
Facebook group: https://www.facebook.com/groups/49085...
Machine Learning Project
Python Project
Diabetes Prediction using Machine Learning with Python
Supervised Learning
Supervised Learning Algorithm
Deep Learning
artificial intelligence
#machinelearning#deeplearning#python#pythonproject Instagram: / siddhardhan23 Instagram: / siddhardhan23
🤖 My end-to-end Machine Learning Course - Udemy (2026): https://www.udemy.com/course/machine-...
In this video, we are building a system that can predict whether a person has diabetes or not with the help of Machine Learning. This project is done in Py…...more
...more
How this was made
Auto-dubbed
Audio tracks for some languages were automatically generated. Learn more
I am a postgraduate student in China and I was struggling to find a project to do on ML. Now, thanks to you my brother, I did some good works. Thank you
Hi Sir,
Thank you for your tutorial.
Can you please share how you decided with finalizing SVM as the most suited algorithm for building the ML model?
Thank you
I just love the fact that you say the same thing for some concepts over and over again through the different projects no matter how small the information is
@Siddhardhan